Ml/Ai Engineer/ Scientist

Company Description
PromptBio is a biotechnology company founded in 2023 in Pleasanton, California. Our current focus is on developing cutting-edge machine learning and AI-driven workflows and analyses to enable the discovery of novel biomarkers from multi-omics data and translate them into clinical diagnostic applications.
Job Description
We are looking for a highly motivated ML/AI engineer or scientist to join our team.

Qualifications

• The candidate needs to be driven and have a “get things done” mindset and can work in a collaborative environment.
• At least 3 years of hands-on experience in developing ML/AI applications and statistical methods. Experience with large language models (LLMs) or other generative AI will be a plus. Familiarity with analysis of multi-omics, and NGS data will be a major plus.
• Coding and software engineering:
• Fluency in one or more of the programming languages like Python/Go, and being able to quickly learn and program in a new language/s when required.
• Familiarity with best practices in software engineering, like testing, code review, version control systems such as Git, and container deployments.
• Preferably has experience working with cloud computing environments (AWS, GCP, etc) and/or Linux servers.
• Master’s or Ph.D. degree, preferably in Machine Learning/AI, Data/Computer Science or Statistics

• Develop novel computational methods based on ML/AI technologies for analyses of multi-omics data; identify gaps in existing methods, tools and workflows and develop novel solutions to bridge them.
• Complement the business development team in technical meetings and interactions with the customers; develop exemplary case studies on applications of ML/AI for multi-omics data to validate and demonstrate the novelty and quality of the solutions.
• Work with the bioinformatics and software engineering teams to implement solutions in production-quality software.
• Author publications by working with external academic collaborators and present at conferences

Qualifications

• The candidate needs to be driven and have a “get things done” mindset and can work in a collaborative environment.
• At least 3 years of hands-on experience in developing ML/AI applications and statistical methods. Experience with large language models (LLMs) or other generative AI will be a plus. Familiarity with analysis of multi-omics, and NGS data will be a major plus.
• Coding and software engineering:
• Fluency in one or more of the programming languages like Python/Go, and being able to quickly learn and program in a new language/s when required.
• Familiarity with best practices in software engineering, like testing, code review, version control systems such as Git, and container deployments.
• Preferably has experience working with cloud computing environments (AWS, GCP, etc) and/or Linux servers.
• Master’s or Ph.D. degree, preferably in Machine Learning/AI, Data/Computer Science or Statistics.

Additional Information